Title :
Fuzzy control for forecasting and pattern recognition in a time series
Author :
Zardecki, Andrew
Author_Institution :
Los Alamos Nat. Lab., NM, USA
Abstract :
The paper describes an object-oriented implementation of the algorithm advanced by Wang and Mendel (1992). Numerical results are presented both for time series with seasonal changes and time series corresponding to chaotic situations, such as encountered in the context of strange attractors. In the latter case, the effect of noise on predictive power of the fuzzy controller are explored. In addition, by introducing a distance between an observed and predicted data, one can apply the results of this study to a pattern recognition of temporal signatures
Keywords :
chaos; forecasting theory; fuzzy control; fuzzy set theory; object-oriented methods; pattern recognition; time series; chaos; forecasting; fuzzy control; fuzzy set theory; pattern recognition; seasonal changes; temporal signatures; time series; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Intelligent networks; Laboratories; Neural networks; Object oriented modeling; Pattern recognition; Shape; Signal processing algorithms;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343584
